Triple

T3917090
Position Surface form Disambiguated ID Type / Status
Subject LMS Black Five E88866 entity
Predicate notableExample P1503 FINISHED
Object LMS 45407 E88866 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LMS 45407 | Statement: [LMS Black Five, notableExample, LMS 45407]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LMS 45407
Context triple: [LMS Black Five, notableExample, LMS 45407]
  • A. LMS 8F
    LMS 8F is a class of British heavy freight steam locomotives widely used during and after World War II for hauling goods trains.
  • B. LMS Black Five chosen
    LMS Black Five is a highly successful and versatile class of British mixed-traffic steam locomotives designed by William Stanier for widespread use across the LMS network.
  • C. LM-93 tram
    The LM-93 tram is a Russian-built light rail vehicle model commonly used in city tram and metrotram systems such as the Volgograd Metrotram.
  • D. SL95 tram
    The SL95 tram is a high-floor, bi-directional tram model used in Oslo, Norway, known for its large capacity and operation on the city’s light rail and tram network.
  • E. LMS
    LMS was one of the "Big Four" British railway companies, operating an extensive network across London, the Midlands, Scotland, and parts of Wales from 1923 until nationalisation in 1948.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed5797508190adaddb84575d9bb3 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52864e0488190ab348a52cb9168b9 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:22 p.m.